Panasonic Intellectual Property Management Co., Ltd.

Jeffry Fernando

Jun Ozawa

Hideto Motomura

Koji Morikawa

Katsuyoshi Yamagami

Toru Tanigawa

Akinori Matsumoto

Hisaji Murata

Yuya Sugasawa

Takanobu Ojima

Koichi Emura

Eiichi Naito

Mototaka Yoshioka

Masanaga Tsuji

Yumi Wakita

Eriko Ohdachi

Sahim Kourkouss

Even when data that can belong to a new class that is not in an existing class is input, this data can be easily classified appropriately. Classification system includes input reception part, classification part, calculation part, determination part, and presentation part. Input reception part receives an input of target data. Classification part classifies the target data into any one of a plurality of classes. Calculation part calculates a feature amount of the target data. Determination part determines a possibility that the target data is classified into the new class based on a classification result in classification part and the feature amount of the target data calculated by calculation part. When determination part determines that there is a possibility that the target data is classified into the new class, presentation part presents a determination result of determination part.

Classification system and classification method

Reliability regarding a class determination for an object is improved. Classification system includes first classification part, second classification part, and determination part. First classification part classifies first target data into at least one of a plurality of first classes. Second classification part classifies second target data into at least one of a plurality of second classes. Determination part decides whether to use one or both of a first classification result that is a classification result obtained by first classification part and a second classification result that is a classification result obtained by second classification part, and determines a class of object based on one or both of them. The first target data is image data of object. The second target data is manufacturing data regarding a manufacturing condition of object.

Classification system and classification method using lerned model and model including data distribution

An inspection system includes an acquisition unit and a determination unit. The acquisition unit acquires an image representing a surface of an object. The determination unit performs color determination processing. The color determination processing is performed to determine a color of the surface of the object based on a plurality of conditions of reflection. The plurality of conditions of reflection are obtained from the image representing the surface of the object as acquired by the acquisition unit, and have a specular reflection component and a diffuse reflection component at respectively different ratios on the surface of the object.

Inspection system, inspection method, program, and storage medium

An information processing system receives first travel histories from vehicles that belong to vehicle type A, learns based on the first travel histories to build a first driver model that represents relation between travel situations and behaviors of the vehicles that belong to a first vehicle type, receives second travel histories from vehicles that belong to vehicle type X that is different from vehicle type A, and performs transfer learning in which the second travel histories are used for the first driver model to build a second driver model that represents relation between travel situations and behaviors of the vehicles that belong to vehicle type X.

Information processing system, information processing method, program, and vehicle for generating a first driver model and generating a second driver model using the first driver model

A muscle fatigue output device is provided with a myoelectric measurement unit that acquires myoelectricity of a user, and a main control unit that determines fatigue of a muscle of the user on the basis of the myoelectricity. The main control unit (a) uses the myoelectricity to acquire a value for a frequency characteristic of the myoelectricity, (b) uses the myoelectricity to acquire a value for an amplitude characteristic of the myoelectricity, (c) acquires a ratio between the value for the frequency characteristic and the value for the amplitude characteristic as an index for the fatigue of the muscle of the user, and (d) outputs information regarding the fatigue of the muscle of the user, on the basis of the index for the fatigue of the muscle of the user.

Muscle fatigue output device, muscle fatigue output method, and recording medium

An individual authentication method includes (i) indicating a first position of a user's arm or arms when gripping an electrocardiographic sensor, (ii) measuring the user's electrocardiographic activity at the first position by using the electrocardiographic sensor, (iii) indicating a second position of the user's arm or arms when gripping the electrocardiographic sensor, the second position being different from the first position, (iv) measuring the user's electrocardiographic activity at the second position by using the electrocardiographic sensor, (v) receiving ID information of the user, and (vi) registering, in a database, electrocardiographic authentication information including first authentication information associating the ID information with the user's electrocardiographic activity measured at the first position, and second authentication information associating the ID information with the user's electrocardiographic activity measured at the second position.

Individual authentication method, electrocardiographic authentication information generation method, individual authentication device, electrocardiographic authentication information generating device, recording medium, and method

A biosignal determining device includes: an instruction output circuit which outputs a first instruction, a second instruction, and a third instruction to a user, the first instruction is for asking the user to perform an inhaling or exhaling motion to a limit, a second instruction is for asking the user to stop the motion, and a third instruction is for asking the user to perform a motion reverse to the motion to a limit; a detection circuit which obtains a first cardiography representing a potential difference between two electrodes disposed on a chest of the user, the first cardiography measured between a time when the second instruction is outputted and a time when the third instruction is outputted, and detects a plurality of peaks included in the first cardiography; and a determination circuit which determines whether the user has performed the motion asked in the first instruction to the limit depending on whether potential values of the plurality of peaks are included in a predetermined range.

Biosignal determining device and biosignal determining method

A biological information measurement system includes: a plurality of electrodes; a current source connected to the plurality of electrodes to supply a current thereto; a measurement unit for measuring impedance from a potential difference between the plurality of electrodes; a detector for detecting values of specific peaks from chronological data of the impedance; an envelope generator for generating an envelope of values of the specific peaks; and an output unit for outputting information of the envelope as biological information.

Biological signal measurement system, apparatus, method, and computer program thereof

A personal authentication apparatus includes a measuring circuit that measures a user electrocardiographic waveform using electrodes, a peak detector that detects peaks of first and second R waves and at least one of peaks of P and Q waves, and an acquirer. The acquirer expands/contracts a time interval between the peaks of the first and second R waves to a first time period and further (i) expands/contracts a time interval between the peaks of the first R wave and P wave to a second time period, (ii) expands/contracts a time interval between the peaks of the first R wave and Q wave to a third time period, or (iii) expands/contracts the time interval between the peaks of the first R wave and P wave to the second time period and expands/contracts the time interval between the peaks of the first R wave and Q wave to the third time period.

Personal authentication apparatus, personal authentication method, and recording medium

An exemplary electronic device is in a housing to be gripped by a right hand and a left hand of a user, and has a plurality of manipulable portions. The electronic device includes: electrodes placed at positions which come in contact with the right hand and left hand of the user gripping the housing; an extractor for extracting an electrocardiographic component of the user from a potential difference between the electrodes; a determination section for determining whether the extracted electrocardiographic component is in a positive direction or a negative direction by referring to a prestored criterion; and a change section for, in accordance with a result of determination by the determination section, changing assignment between each of the plurality of manipulable portions and a manipulation signal generated in response to a manipulation.

Electronic device, information processing apparatus, information processing method and program

An exemplary electronic device is in a housing to be gripped by both hands, and measures the potentials of first and second fingers of respectively different hands. The device includes: a first electrode group provided in a position to come in contact with the first finger, including a first main electrode and at least one first auxiliary electrode provided in a position away from the first main electrode; a second electrode group provided in a position to come in contact with the second finger, including a second main electrode and at least one second auxiliary electrode provided in a position away from the second main electrode; a biological signal processor for, from potential values measured at the first and second electrode groups, determining respective contact states concerning the first and second fingers; and a transmission circuit for presenting information concerning a finger contact state based on a result of determination.

Electronic device, information processing apparatus, information processing method, and program

An attribute about person's mobility capability is judged by a human movement attribute acquisition unit. Candidate paths for a detected person to move along are created by a human path candidate creation unit based on information about the person and a predicted time left for a collision between the autonomous locomotion apparatus and the person. A movement load for each candidate path is evaluated by a human path load evaluation unit based on an attribute of person's movement. A path which imposes a minimum movement load on the person, i.e., a path suitable for the person's mobility capability and the easiest for the person to avoid the autonomous locomotion apparatus is selected by a human path determination unit. A path for the autonomous locomotion apparatus to guide the person to the selected path is planned by a guide path planning unit.

Autonomous locomotion apparatus, autonomous locomotion method, and program for autonomous locomotion apparatus

The autonomous locomotion apparatus has a human information acquisition unit which detects a person. When there is probability of contact between the detected person and the autonomous locomotion apparatus based on movement information of the person, the autonomous locomotion apparatus controls a traveling speed or a rotational speed of the autonomous locomotion apparatus to perform a guide operation which presents a path of the autonomous locomotion apparatus which is intended to cause the person to predict, so that it causes the person to avoid the path without giving the person a sense of uneasiness.

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Osaka, Japan

Jeffry Fernando